نتایج جستجو برای: otsu thresholding method
تعداد نتایج: 1634331 فیلتر نتایج به سال:
Presently image segmentation remains the most crucial stage in processing system. The main idea ofimage is to partition or divide a random into several partitions depending on problem solve. In this paper, we will be presenting new method of skin cancer detection based Otsu’s thresholding algorithm and markercontrolled watershed method. This hybridization process first all started by segmenting...
In this paper, a denoising and binarization scheme of document images corrupted by white Gaussian noise and Impulse noise is presented using Curvelet Transform. The ability of sparse representation and edge preservation of Curvelet transform is utilized. Impulse noise gets added during document scanning or after binarization of scanned document images. White Gaussian noise corrupts the document...
Medical image processing is the most challenging and emerging field now a day’s. In this field, detection of brain tumor from MRI brain scan has become one of the most challenging problems, due to complex structure of brain. The quantitative analysis of MRI brain tumor allows obtaining useful key indicators of disease progression. A computer aided diagnostic system has been proposed here for de...
The thermal image processing technique for detecting malaria using General Fuzzy Min-Max neural network (GFMM). For detecting malaria, image should go through 4 standard steps, pre-processing, segmentation, feature extraction and selection and classification. Median filter is used in pre-processing step which reduces salt-and-pepper noise of the image. The filtered image is then segmented with ...
Abstract This study presents a new simple approach to detect the coastline changes due construction of man-made structures. The uses low-pass filter reduce speckles errors and Otsu thresholding method create binary image. Then, closing morphological operation was conducted improve In final step, canny edge detection is used for delineation. coastlines analysis done by using Digital Shoreline An...
In the last years, economic multichannel sensors became very widespread. The most known of these devices is certainly the Microsoft Kinect, able to provide at the same time a color image and a depth map of the scene. However Kinect focuses specifically on human-computer interaction, so the SDK supplied with the sensors allows to achieve an efficient detection of foreground people but not of gen...
Image segmentation is a key topic of research from many years. Image segmentation plays a very important role in computer vision .The purpose of image segmentation is to partition the image into an set of disjoint regions with the homogeneous and uniform attributes like intensity, tone, color and texture. Edge detection in images considerably reduces the amount of data and filters useless infor...
The acute shortage of trained and experienced sonographers causes the detection congenital heart defects (CHDs) extremely difficult. In order to minimize this difficulty, an accurate fetal segmentation early location such structural abnormalities prior delivery is essential. However, process not easy task due small size structure. Moreover, manual for identifying standard cardiac planes, primar...
One common cause of visual impairment among people of working age in the industrialized countries is Diabetic Retinopathy (DR). Automatic recognition of hard exudates (EXs) which is one of DR lesions in fundus images can contribute to the diagnosis and screening of DR.The aim of this paper was to automatically detect those lesions from fundus images. At first,green channel of each original fund...
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